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# Data Platform Architect

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £100,000.0 - £110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Digital Assets, Metadata, Terraform
- **Published:** October 9, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-platform-architect/57438484

## About the Role

* Previous experience as a Data Architect, Data Platform Architect or similar role
 * Strong background in Data Engineering, Analytics Engineering or Data Platform environments
 * Experience defining standards and best practices across multiple technical teams
 * Strong understanding of data modelling and architecture principles
 * Experience working with dbt in modern data environments
 * Experience with Infrastructure as Code, ideally Terraform
 * Good understanding of CI/CD practices and engineering workflows
 * Strong stakeholder management and communication skills
 * Experience across AWS, Azure or GCP environments would be advantageous

## Description

This is an exciting opportunity to join a nationally recognised digital and media organisation undergoing significant investment in its data platform and analytics capabilities. You'll play a key role in shaping data architecture across the business, influencing how data products are designed, governed and delivered while helping prepare the organisation for future AI initiatives., * Define and evolve architectural standards across Data Platform and Analytics Engineering teams

 * Partner with Product Managers and Engineering teams to design scalable data solutions
 * Drive best practices around data modelling, metadata, lineage, observability and data contracts
 * Support AI-readiness initiatives by ensuring data assets are governed, scalable and accessible
 * Review new data products and platform changes from an architectural perspective
 * Establish frameworks and standards to improve consistency across multiple teams
 * Work closely with engineering teams to influence delivery without being removed from implementation
 * Evaluate emerging technologies and opportunities to enhance the data platform